Meeting Banner
Abstract #1171

Task-based High Angular Resolution Functional Imaging (tHARFI) shows directional contrast of BOLD signal

Kurt G Schilling1, Katherine S Aboud2, Hakmook Kang3, Zhaohua Ding1,4, Adam W Anderson1,5, Laurie Cutting2,6, John C Gore1,2,5, and Bennett A Landman1,7,8

1Vanderbilt University Institute of Imaging Science, Nashville, TN, United States, 2Vanderbilt Brain Institute, Nashville, TN, United States, 3Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, United States, 4Radiology and Radiological Sciences, Vanderbilt University, Nashville, TN, United States, 5Biomedical Engineering, Vanderbilt University, Nashville, TN, United States, 6Peabody College of Education and Human Development, Nashville, TN, United States, 7BIomedical Engineering, Vanderbilt University, Nashville, TN, United States, 8Electrical Engineering and Computer Science, Vanderbilt University, Nashville, TN, United States

We present a method to detect and quantify correlated BOLD signals in brain white matter using task-based high angular resolution functional imaging (tHARFI). This technique measures the anisotropic component of these signals, highlighting directional differences between two different task states. The ability to quantify these correlated functional signals in white matter may improve our ability to delineate functional circuits in the brain, and complement other modalities to better understand structural and functional relationships in the brain.

How to access this content:

For one year after publication, abstracts and videos are only open to registrants of this annual meeting. Registrants should use their existing login information. Non-registrant access can be purchased via the ISMRM E-Library.

After one year, current ISMRM & ISMRT members get free access to both the abstracts and videos. Non-members and non-registrants must purchase access via the ISMRM E-Library.

After two years, the meeting proceedings (abstracts) are opened to the public and require no login information. Videos remain behind password for access by members, registrants and E-Library customers.

Click here for more information on becoming a member.

Keywords